메뉴 건너뛰기




Volumn , Issue , 2012, Pages 37-50

Towards efficient and privacy-preserving network- Based botnet detection using netflow data

Author keywords

Botnet detection; Large network operator; Netflow data; Privacy; Reference data set

Indexed keywords

DATA PRIVACY; INTERNET SERVICE PROVIDERS;

EID: 84905223717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (32)
  • 1
    • 84905239482 scopus 로고    scopus 로고
    • Bachelor's thesis, Darmstadt University of Applied Sciences, Faculty of Computer Science, Darmstadt
    • Abt, S., (2009), "A statistical approach to flow-based network attack detection", Bachelor's thesis, Darmstadt University of Applied Sciences, Faculty of Computer Science, Darmstadt.
    • (2009) A Statistical Approach to Flow-based Network Attack Detection
    • Abt, S.1
  • 3
    • 84905242746 scopus 로고    scopus 로고
    • Arbor Networks, Inc., last accessed: January 2012
    • Arbor Networks, (2005-2011), Worldwide Infrastructure Security Report, Arbor Networks, Inc., http://www.arbornetworks.com/report (last accessed: January 2012).
    • (2005) Worldwide Infrastructure Security Report
  • 7
    • 67649996622 scopus 로고    scopus 로고
    • last accessed: January 2012
    • Cisco Systems, (2007), "Netflow Services Solutions Guide", http://www.cisco.com/en/US/docs/ios/solutionsdocs/netflow/nfwhite.html (last accessed: January 2012).
    • (2007) Netflow Services Solutions Guide
  • 8
    • 70450206702 scopus 로고    scopus 로고
    • Specification of the IP flow information export (IPFIX) protocol for the exchange of ip traffic flow information
    • Editor
    • Claise, B. (Editor), (2008), "Specification of the IP Flow Information Export (IPFIX) Protocol for the Exchange of IP Traffic Flow Information", RFC 5101, http://tools.ietf.org/html/rfc5101.
    • (2008) RFC , vol.5101
    • Claise, B.1
  • 18
    • 85075837457 scopus 로고    scopus 로고
    • Botminer: Clustering analysis of network traffic for protocol-and structure-independent botnet detection
    • Us
    • Gu, G., Perdisci, R., Zhang, J., and Lee, W., (2008b), "Botminer: Clustering analysis of network traffic for protocol-and structure-independent botnet detection", Usenix Security Symposium.
    • (2008) Enix Security Symposium
    • Gu, G.1    Perdisci, R.2    Zhang, J.3    Lee, W.4
  • 31
    • 26844548971 scopus 로고    scopus 로고
    • last accessed: January 2012
    • The Honeynet Project, (2005), "Know your enemy: Tracking botnets", http://www.honeynet.org/(last accessed: January 2012).
    • (2005) Know your Enemy: Tracking Botnets


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.